Public Health & Policy

Health Policy

Latest AI and machine learning research in health policy for healthcare professionals.

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Optimizing machine learning methods for groundwater quality prediction: Case study in District Bagh, Azad Kashmir, Pakistan.

Groundwater quality monitoring is crucial for protecting the environment and human health. Machine l...

Character generation and visual quality enhancement in animated films using deep learning.

With the application and development of technologies such as artificial intelligence and deep learni...

Predicting quality measure completion among 14 million low-income patients enrolled in medicaid.

Low-income populations have disproportionately low completion of recommended healthcare services, fr...

Health consumers' use and perceptions of health information from generative artificial intelligence chatbots: A scoping review.

Background Health consumers can use generative artificial intelligence (GenAI) chatbots to seek heal...

Air quality monitoring in Mendoza, Argentina: machine learning approaches for PM prediction.

In this study, different statistical methodologies were combined to assess the relationship between ...

Evaluating the Quality of Psychotherapy Conversational Agents: Framework Development and Cross-Sectional Study.

BACKGROUND: Despite potential risks, artificial intelligence-based chatbots that simulate psychother...

Exploring the potential of lightweight large language models for AI-based mental health counselling task: a novel comparative study.

In recent years, Transformer-based large language models (LLMs) have significantly improved upon the...

A novel mobiles android application for facilitating wheelchair users access to public buildings in urban environments.

In recent years, societies and governments worldwide have increasingly focused on addressing the rig...

Hybrid deep learning architecture for scalable and high-quality image compression.

The rapid growth of medical imaging data presents challenges for efficient storage and transmission,...

Quality assessment of large language models' output in maternal health.

Optimising healthcare is linked to broadening access to health literacy in Low- and Middle-Income Co...

Educational improvement through machine learning: Strategic models for better PISA scores.

In this study, in addition to traditional variables such as economic wealth or the number of books r...

Method for Predict Stenosis of Arteriovenous Fistula Patients Based on Machine Learning.

OBJECTIVES: Arteriovenous fistula (AVF) is the most ideal vascular access for hemodialysis. People w...

The nursing process and total health cost variability: an analysis using machine learning.

AIMS: To find out whether the information that the nursing process provides (functional patterns and...

Nurses' perspectives on AI-Enabled wearable health technologies: opportunities and challenges in clinical practice.

BACKGROUND: Wearable health technologies, such as smartwatches, biosensor patches, and fitness track...

Shift nurses' work quality and job satisfaction after implementing the Inha University hospital nursing AI scheduling system (IH-NASS).

BACKGROUND: Shift work is essential for nurses and is the backbone of the healthcare workforce. Addr...

RCFLA-YOLO: a deep learning-driven framework for the automated assessment of root canal filling quality in periapical radiographs.

BACKGROUND: Evaluating the quality of root canal filling (RCF) performed by dental students in precl...

An interval type-2 fuzzy multi-criteria decision-making approach for patient bed allocation.

Effective inpatient bed management is critical for optimizing healthcare resource utilization and en...

Comparison of physician and large language model chatbot responses to online ear, nose, and throat inquiries.

Large language models (LLMs) can potentially enhance the accessibility and quality of medical inform...

DeepLASD countermeasure for logical access audio spoofing.

Voice-based authentication systems have become increasingly vulnerable to logical access (LA) spoofi...

Integration of multiple coinflip devices for high-quality random sampling.

Artificial intelligence, scientific computing, and probabilistic computing use random sampling to ap...

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